Re: 对Flink Table Store咨询
哈喽，感谢你的关注
Tison是对的，Table Store是一个库。我们目前并没有发布maven依赖。
目前你可以有两种方式来调试：
1.在Table Store的工程里调试
2.在拿到flink-table-store-dist下的 pre bundled jar，放到你工程的classpath下来调试
入口类的话是通过SQL的方式：
TableEnvironment.executeSql("CREATE TABLE XX (...)");
当classpath下包含 table store 的 jar 时，会服务发现到 TableStore 的 factory，进而走到
table store 的代码。
你的需求是合理的，我们后续会考虑提供官方的maven依赖支持，且提供DataStream API
Best,
Jingsong
On Sun, Apr 24, 2022 at 10:32 AM tison wrote:
>
> Flink Table Store 不是应用，而是库。我理解是要配合 Flink
> 来使用的，断点调试的话，看你的需求，如果只是对一段代码有疑问，跑测试打断点就行了。
>
> Best,
> tison.
>
>
> 陈卓宇 <2572805...@qq.com.invalid> 于2022年4月24日周日 09:59写道：
>
> > 您好大佬：
> > 我对Flink Table
> > Store非常感兴趣，想请教您一下怎么结合flink做断点调试，因为看了一下没有找到入口类
> >
> > 陈卓宇
> >
> >
> >
?????? ??Flink Table Store????
-- set root path to session config SET 'table-store.path' = '/tmp/table_store'; ??flink??config table sql ??demosql cli ?? -- -- ??: "user-zh"
?????? ??Flink Table Store????
??
import org.apache.flink.configuration.Configuration;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.api.TableConfig;
import org.apache.flink.table.api.TableEnvironment;
public class sql {
public static void main(String[] args) {
EnvironmentSettings settings = EnvironmentSettings
.newInstance()
.inStreamingMode()
//.inBatchMode()
.build();
TableEnvironment tenv = TableEnvironment.create(settings);
TableConfig config = tenv.getConfig();
config.set("table-store.path","/Users/zhuoyuchen/Desktop/table_storge/temp");
config.set("execution.checkpointing.interval","10 s");
tenv.executeSql("CREATE TABLE IF NOT EXISTS word_count (\n" +
"word STRING PRIMARY KEY NOT ENFORCED,\n" +
"cnt BIGINT\n" +
") WITH (\n" +
");");
tenv.executeSql("CREATE TABLE word_table (\n" +
"word STRING\n" +
") WITH (\n" +
"'connector' = 'datagen',\n" +
"'fields.word.length' = '1'\n" +
");");
tenv.executeSql("INSERT INTO word_count SELECT word, COUNT(*) FROM
word_table GROUP BY word;");
}
}
flink1.15
flink-table-store-dist-0.2
flink-shaded-hadoop-2-uber-2.4.1-10.0
?????? ??Flink Table Store????
??
import org.apache.flink.configuration.Configuration;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.api.TableConfig;
import org.apache.flink.table.api.TableEnvironment;
public class sql {
public static void main(String[] args) {
EnvironmentSettings settings = EnvironmentSettings
.newInstance()
.inStreamingMode()
//.inBatchMode()
.build();
TableEnvironment tenv = TableEnvironment.create(settings);
TableConfig config = tenv.getConfig();
config.set("table-store.path","/Users/zhuoyuchen/Desktop/table_storge/temp");
config.set("execution.checkpointing.interval","10 s");
tenv.executeSql("CREATE TABLE IF NOT EXISTS word_count (\n" +
"word STRING PRIMARY KEY NOT ENFORCED,\n" +
"cnt BIGINT\n" +
") WITH (\n" +
");");
tenv.executeSql("CREATE TABLE word_table (\n" +
"word STRING\n" +
") WITH (\n" +
"'connector' = 'datagen',\n" +
"'fields.word.length' = '1'\n" +
");");
tenv.executeSql("INSERT INTO word_count SELECT word, COUNT(*) FROM
word_table GROUP BY word;");
}
}
flink1.15
flink-table-store-dist-0.2
flink-shaded-hadoop-2-uber-2.4.1-10.0
Flink native kubernetes 下没有足够的 slot 问题
您好， 我最近在尝试使用 native kubernetes 方式部署 flink 集群。我根据官方文档使用 session 模式部署了一个集群，并在上面提交了一个并行度为 5 的测试 Job，参数设置了 -D-Dtaskmanager.numberOfTaskSlots=3。提交后可以在前端看到创建了两个 slot 数量为 3 的 Taskmanager，并且其中有一个 Taskmanager 显示 1 slot free。但是 Job 无法正常启动，得到了 has no more allocated slots for job
Re: Flink native kubernetes 下没有足够的 slot 问题
万分抱歉！邮件客户端误触发送出去了。。。 请问为什么 slot 总数充足的情况下会出现 slot 不足的异常？如何在 native kubernetes 下正确启动一个多并行度任务？ 感谢大家抽空看我的邮件！ Best, 潘 On Apr 28 2022, at 5:28 pm, Pan Junxun wrote: > 您好， > > 我最近在尝试使用 native kubernetes 方式部署 flink 集群。我根据官方文档使用 session > 模式部署了一个集群，并在上面提交了一个并行度为 5 的测试 Job，参数设置了 > -D-Dtaskmanager.numberOfTaskSlots=3。提交后可以在前端看到创建了两个 slot 数量为 3 的 > Taskmanager，并且其中有一个 Taskmanager 显示 1 slot free。但是 Job 无法正常启动，得到了 > > has no more allocated slots for job
Re: Flink native kubernetes 下没有足够的 slot 问题
Hi, Junxun 按照你的说法前半部分是符合预期的，并行度为 5 的作业需要 2 个 slot 数量为 3 的 TaskManager。 这里没看到具体的报错日志，方便提供下完成日志吗？以及对应的 flink 版本信息。 > 2022年4月28日 下午5:28，Pan Junxun 写道： > > 您好， > > 我最近在尝试使用 native kubernetes 方式部署 flink 集群。我根据官方文档使用 session > 模式部署了一个集群，并在上面提交了一个并行度为 5 的测试 Job，参数设置了 > -D-Dtaskmanager.numberOfTaskSlots=3。提交后可以在前端看到创建了两个 slot 数量为 3 的 > Taskmanager，并且其中有一个 Taskmanager 显示 1 slot free。但是 Job 无法正常启动，得到了 > > has no more allocated slots for job
Re: Flink native kubernetes 下没有足够的 slot 问题
感谢回复！ 日志内容如下： 2022-04-28 19:58:20 org.apache.flink.runtime.JobException: Recovery is suppressed by NoRestartBackoffTimeStrategy at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:138) at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:82) at org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:207) at org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:197) at org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:188) at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:677) at org.apache.flink.runtime.scheduler.UpdateSchedulerNgOnInternalFailuresListener.notifyTaskFailure(UpdateSchedulerNgOnInternalFailuresListener.java:51) at org.apache.flink.runtime.executiongraph.DefaultExecutionGraph.notifySchedulerNgAboutInternalTaskFailure(DefaultExecutionGraph.java:1462) at org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1140) at org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1080) at org.apache.flink.runtime.executiongraph.Execution.fail(Execution.java:783) at org.apache.flink.runtime.jobmaster.slotpool.SingleLogicalSlot.signalPayloadRelease(SingleLogicalSlot.java:195) at org.apache.flink.runtime.jobmaster.slotpool.SingleLogicalSlot.release(SingleLogicalSlot.java:182) at org.apache.flink.runtime.scheduler.SharedSlot.lambda$release$4(SharedSlot.java:271) at java.util.concurrent.CompletableFuture.uniAccept(CompletableFuture.java:670) at java.util.concurrent.CompletableFuture.uniAcceptStage(CompletableFuture.java:683) at java.util.concurrent.CompletableFuture.thenAccept(CompletableFuture.java:2010) at org.apache.flink.runtime.scheduler.SharedSlot.release(SharedSlot.java:271) at org.apache.flink.runtime.jobmaster.slotpool.AllocatedSlot.releasePayload(AllocatedSlot.java:152) at org.apache.flink.runtime.jobmaster.slotpool.DefaultDeclarativeSlotPool.releasePayload(DefaultDeclarativeSlotPool.java:385) at org.apache.flink.runtime.jobmaster.slotpool.DefaultDeclarativeSlotPool.releaseSlots(DefaultDeclarativeSlotPool.java:361) at org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolService.internalReleaseTaskManager(DeclarativeSlotPoolService.java:249) at org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolService.releaseTaskManager(DeclarativeSlotPoolService.java:230) at org.apache.flink.runtime.jobmaster.JobMaster.disconnectTaskManager(JobMaster.java:497) at sun.reflect.GeneratedMethodAccessor591.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:305) at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:212) at org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:77) at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:158) at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26) at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21) at scala.PartialFunction.applyOrElse(PartialFunction.scala:123) at scala.PartialFunction.applyOrElse$(PartialFunction.scala:122) at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21) at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171) at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172) at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172) at akka.actor.Actor.aroundReceive(Actor.scala:517) at akka.actor.Actor.aroundReceive$(Actor.scala:515) at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592) at akka.actor.ActorCell.invoke(ActorCell.scala:561) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258) at akka.dispatch.Mailbox.run(Mailbox.scala:225) at akka.dispatch.Mailbox.exec(Mailbox.scala:235) at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) Caused by: org.apache.flink.util.FlinkException: TaskExecutor akka.tcp://flink@10.100.1.127:6122/user/rpc/taskmanager_0 has no more allocated slots for job 4e6bdfa51b6a7fd61d595db0177bc6e8. at org.apache.flink.runtime.taskexecutor.TaskExecutor.closeJobManagerConnectionIfNoAllocatedResources(TaskExecutor.java:1941) at org.apache.flink.runtime.taskexecutor.TaskExecutor.freeSlotInternal(TaskExecutor.java:
Re: Flink native kubernetes 下没有足够的 slot 问题
忘记说了，Flink 版本是 1.13.1 On Apr 28 2022, at 8:04 pm, Pan Junxun wrote: > 感谢回复！ > > 日志内容如下： > > 2022-04-28 19:58:20 > org.apache.flink.runtime.JobException: Recovery is suppressed by > NoRestartBackoffTimeStrategy > at > org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:138) > at > org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:82) > at > org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:207) > at > org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:197) > at > org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:188) > at > org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:677) > at > org.apache.flink.runtime.scheduler.UpdateSchedulerNgOnInternalFailuresListener.notifyTaskFailure(UpdateSchedulerNgOnInternalFailuresListener.java:51) > at > org.apache.flink.runtime.executiongraph.DefaultExecutionGraph.notifySchedulerNgAboutInternalTaskFailure(DefaultExecutionGraph.java:1462) > at > org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1140) > at > org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1080) > at org.apache.flink.runtime.executiongraph.Execution.fail(Execution.java:783) > at > org.apache.flink.runtime.jobmaster.slotpool.SingleLogicalSlot.signalPayloadRelease(SingleLogicalSlot.java:195) > at > org.apache.flink.runtime.jobmaster.slotpool.SingleLogicalSlot.release(SingleLogicalSlot.java:182) > at > org.apache.flink.runtime.scheduler.SharedSlot.lambda$release$4(SharedSlot.java:271) > at > java.util.concurrent.CompletableFuture.uniAccept(CompletableFuture.java:670) > at > java.util.concurrent.CompletableFuture.uniAcceptStage(CompletableFuture.java:683) > at > java.util.concurrent.CompletableFuture.thenAccept(CompletableFuture.java:2010) > at org.apache.flink.runtime.scheduler.SharedSlot.release(SharedSlot.java:271) > at > org.apache.flink.runtime.jobmaster.slotpool.AllocatedSlot.releasePayload(AllocatedSlot.java:152) > at > org.apache.flink.runtime.jobmaster.slotpool.DefaultDeclarativeSlotPool.releasePayload(DefaultDeclarativeSlotPool.java:385) > at > org.apache.flink.runtime.jobmaster.slotpool.DefaultDeclarativeSlotPool.releaseSlots(DefaultDeclarativeSlotPool.java:361) > at > org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolService.internalReleaseTaskManager(DeclarativeSlotPoolService.java:249) > at > org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolService.releaseTaskManager(DeclarativeSlotPoolService.java:230) > at > org.apache.flink.runtime.jobmaster.JobMaster.disconnectTaskManager(JobMaster.java:497) > at sun.reflect.GeneratedMethodAccessor591.invoke(Unknown Source) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:305) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:212) > at > org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:77) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:158) > at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26) > at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21) > at scala.PartialFunction.applyOrElse(PartialFunction.scala:123) > at scala.PartialFunction.applyOrElse$(PartialFunction.scala:122) > at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21) > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171) > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172) > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172) > at akka.actor.Actor.aroundReceive(Actor.scala:517) > at akka.actor.Actor.aroundReceive$(Actor.scala:515) > at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225) > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592) > at akka.actor.ActorCell.invoke(ActorCell.scala:561) > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258) > at akka.dispatch.Mailbox.run(Mailbox.scala:225) > at akka.dispatch.Mailbox.exec(Mailbox.scala:235) > at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) > at > akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) > at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) > at > akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) > Caused by: org.apache.flink.util.FlinkException: TaskExecutor > akka.tcp://flink@10.100.1.127:6122/user/rpc/taskmanager_0 has no more > allocated slots for job 4
?????? ??Flink Table Store????
?? -- -- ??: "user-zh"
Re: Flink native kubernetes 下没有足够的 slot 问题
当 SlotManager 向 TaskExecutor 为作业申请 Slot 后，TaskExecutor 会向 JobMaster offer这些 Slots。从 TaskExecutor 接受到 SlotManager 的请求后会注册一个定时器，如果在定时器计时结束时仍然没有将 Slots offer 给 JobMaster，会触发这个问题。 Slot timeout 的时间配置项为taskmanager.slot.timeout，如果没有单独配置，则使用 akka.ask.timeout 的值（默认为 10s）。 可以尝试增加 taskmanager.slot.timeout 超时来避免这个问题，如果仍然有问题，需要进一步通过 JobManager/TaskManager 日志进行分析。 > 2022年4月28日 下午8:04，Pan Junxun 写道： > > 感谢回复！ > > 日志内容如下： > > 2022-04-28 19:58:20 > org.apache.flink.runtime.JobException: Recovery is suppressed by > NoRestartBackoffTimeStrategy > at > org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:138) > at > org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:82) > at > org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:207) > at > org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:197) > at > org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:188) > at > org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:677) > at > org.apache.flink.runtime.scheduler.UpdateSchedulerNgOnInternalFailuresListener.notifyTaskFailure(UpdateSchedulerNgOnInternalFailuresListener.java:51) > at > org.apache.flink.runtime.executiongraph.DefaultExecutionGraph.notifySchedulerNgAboutInternalTaskFailure(DefaultExecutionGraph.java:1462) > at > org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1140) > at > org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1080) > at org.apache.flink.runtime.executiongraph.Execution.fail(Execution.java:783) > at > org.apache.flink.runtime.jobmaster.slotpool.SingleLogicalSlot.signalPayloadRelease(SingleLogicalSlot.java:195) > at > org.apache.flink.runtime.jobmaster.slotpool.SingleLogicalSlot.release(SingleLogicalSlot.java:182) > at > org.apache.flink.runtime.scheduler.SharedSlot.lambda$release$4(SharedSlot.java:271) > at > java.util.concurrent.CompletableFuture.uniAccept(CompletableFuture.java:670) > at > java.util.concurrent.CompletableFuture.uniAcceptStage(CompletableFuture.java:683) > at > java.util.concurrent.CompletableFuture.thenAccept(CompletableFuture.java:2010) > at org.apache.flink.runtime.scheduler.SharedSlot.release(SharedSlot.java:271) > at > org.apache.flink.runtime.jobmaster.slotpool.AllocatedSlot.releasePayload(AllocatedSlot.java:152) > at > org.apache.flink.runtime.jobmaster.slotpool.DefaultDeclarativeSlotPool.releasePayload(DefaultDeclarativeSlotPool.java:385) > at > org.apache.flink.runtime.jobmaster.slotpool.DefaultDeclarativeSlotPool.releaseSlots(DefaultDeclarativeSlotPool.java:361) > at > org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolService.internalReleaseTaskManager(DeclarativeSlotPoolService.java:249) > at > org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolService.releaseTaskManager(DeclarativeSlotPoolService.java:230) > at > org.apache.flink.runtime.jobmaster.JobMaster.disconnectTaskManager(JobMaster.java:497) > at sun.reflect.GeneratedMethodAccessor591.invoke(Unknown Source) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:305) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:212) > at > org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:77) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:158) > at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26) > at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21) > at scala.PartialFunction.applyOrElse(PartialFunction.scala:123) > at scala.PartialFunction.applyOrElse$(PartialFunction.scala:122) > at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21) > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171) > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172) > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172) > at akka.actor.Actor.aroundReceive(Actor.scala:517) > at akka.actor.Actor.aroundReceive$(Actor.scala:515) > at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225) > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592) > at akka.actor.ActorCell.invoke(ActorCell.scala:561) > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258) > at akka.dispatch.Mailbox.run(Mailbox.scala:225) > at akka.dispatch.Mailbox.exec(Mailbox.scala:235) > at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) > at > akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:13
Re:Flink SQL??????Java code????debug
Hi??FlinkjaninoJanino[1]??org.codehaus.janino.source_debugging.enable=true??org.codehaus.janino.source_debugging.dir=mypathdebug[1] http://janino-compiler.github.io/janino/#debugging ?? 2022-04-25 17:04:30??"zhiyezou" <1530130...@qq.com.INVALID> ?? > >Ideadebug??
Re: Flink native kubernetes 下没有足够的 slot 问题
感谢大佬指点，我换到 1.14.4 后这个问题解决了 On Apr 28 2022, at 9:03 pm, huweihua wrote: > 当 SlotManager 向 TaskExecutor 为作业申请 Slot 后，TaskExecutor 会向 JobMaster offer这些 > Slots。从 TaskExecutor 接受到 SlotManager 的请求后会注册一个定时器，如果在定时器计时结束时仍然没有将 Slots > offer 给 JobMaster，会触发这个问题。 > > Slot timeout 的时间配置项为taskmanager.slot.timeout，如果没有单独配置，则使用 akka.ask.timeout > 的值（默认为 10s）。 > 可以尝试增加 taskmanager.slot.timeout 超时来避免这个问题，如果仍然有问题，需要进一步通过 > JobManager/TaskManager 日志进行分析。 > > 2022年4月28日 下午8:04，Pan Junxun 写道： > > > > 感谢回复！ > > > > 日志内容如下： > > > > 2022-04-28 19:58:20 > > org.apache.flink.runtime.JobException: Recovery is suppressed by > > NoRestartBackoffTimeStrategy > > at > > org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:138) > > at > > org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:82) > > at > > org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:207) > > at > > org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:197) > > at > > org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:188) > > at > > org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:677) > > at > > org.apache.flink.runtime.scheduler.UpdateSchedulerNgOnInternalFailuresListener.notifyTaskFailure(UpdateSchedulerNgOnInternalFailuresListener.java:51) > > at > > org.apache.flink.runtime.executiongraph.DefaultExecutionGraph.notifySchedulerNgAboutInternalTaskFailure(DefaultExecutionGraph.java:1462) > > at > > org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1140) > > at > > org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1080) > > at > > org.apache.flink.runtime.executiongraph.Execution.fail(Execution.java:783) > > at > > org.apache.flink.runtime.jobmaster.slotpool.SingleLogicalSlot.signalPayloadRelease(SingleLogicalSlot.java:195) > > at > > org.apache.flink.runtime.jobmaster.slotpool.SingleLogicalSlot.release(SingleLogicalSlot.java:182) > > at > > org.apache.flink.runtime.scheduler.SharedSlot.lambda$release$4(SharedSlot.java:271) > > at > > java.util.concurrent.CompletableFuture.uniAccept(CompletableFuture.java:670) > > at > > java.util.concurrent.CompletableFuture.uniAcceptStage(CompletableFuture.java:683) > > at > > java.util.concurrent.CompletableFuture.thenAccept(CompletableFuture.java:2010) > > at > > org.apache.flink.runtime.scheduler.SharedSlot.release(SharedSlot.java:271) > > at > > org.apache.flink.runtime.jobmaster.slotpool.AllocatedSlot.releasePayload(AllocatedSlot.java:152) > > at > > org.apache.flink.runtime.jobmaster.slotpool.DefaultDeclarativeSlotPool.releasePayload(DefaultDeclarativeSlotPool.java:385) > > at > > org.apache.flink.runtime.jobmaster.slotpool.DefaultDeclarativeSlotPool.releaseSlots(DefaultDeclarativeSlotPool.java:361) > > at > > org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolService.internalReleaseTaskManager(DeclarativeSlotPoolService.java:249) > > at > > org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolService.releaseTaskManager(DeclarativeSlotPoolService.java:230) > > at > > org.apache.flink.runtime.jobmaster.JobMaster.disconnectTaskManager(JobMaster.java:497) > > at sun.reflect.GeneratedMethodAccessor591.invoke(Unknown Source) > > at > > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > > at java.lang.reflect.Method.invoke(Method.java:498) > > at > > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:305) > > at > > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:212) > > at > > org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:77) > > at > > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:158) > > at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26) > > at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21) > > at scala.PartialFunction.applyOrElse(PartialFunction.scala:123) > > at scala.PartialFunction.applyOrElse$(PartialFunction.scala:122) > > at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21) > > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171) > > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172) > > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172) > > at akka.actor.Actor.aroundReceive(Actor.scala:517) > > at akka.actor.Actor.aroundReceive$(Actor.scala:515) > > at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225) > > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592) > > at akka.actor.ActorCell.invoke(ActorCell.scala:561) > > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258)
Re: flink 任务对接k8s的第三方jar包管理问题
你可以试试将第三方包放进你的user jar里，制作一个fat jar. 或者你保证每一个container都存在这个第三方包，不一定是在lib下。然后提交作业的时候使用pipeline.classpath去指定这个路径。 参考https://nightlies.apache.org/flink/flink-docs-master/zh/docs/dev/python/dependency_management/ > On 25 Apr 2022, at 6:21 PM, 天道酬勤 <1262420...@qq.com.INVALID> wrote: > > 我的flink是通过kubernetes session > 模式部署，自己编写的任务中需要引用第三方的jar包，我最初的方式是将第三方的jar挂载至flink/lib包下，但是由于一些特殊的需求我希望在提交任务的时候可以动态指定第三方jar包路径，保证任务运行的时候是以此路径来加载，而不是导入第三方jar到flink/lib下,目前在官网中未找到可用的配置项。 > > 希望大家能给我一些建议!
